Overview<\/span><\/span><\/span><\/b>
<\/h3>VeroSource Solutions is
seeking an experienced Data Engineer to join our innovative team and help drive
the success of our Data Team’s projects and products such as VS Data -as -a -Service (DaaS) and VS Digital Twin. These solutions are central to how we deliver
actionable insights, interoperability, and secure digital health ecosystems for
our clients, and are core components of the VS Platform.<\/span>
<\/p>As a Data Engineer at
VeroSource, you will design, build, and optimize scalable data pipelines and
architectures across Azure and AWS platforms, contributing directly to the
evolution, reliability, and scalability of the VS Platform’s data capabilities.
In this role, you will also work with client Subject Matter Experts (SMEs) to
understand business needs and translate them into data solutions that directly
support improved decision -making and operational outcomes.<\/span>
<\/p><\/div>
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Job Responsibilities include, but are not limited to:<\/span><\/span><\/span><\/b>
<\/h3>- Design, implement, and maintain
robust ETL/ELT pipelines to support our Data Team’s solutions.<\/span><\/span>
<\/span><\/li>- Optimize data lakehouses for
performance, scalability, and secure access.<\/span><\/span>
<\/span><\/li>- Collaborate with internal teams and
client SMEs to gather requirements, define data models, and deliver tailored
data solutions.<\/span><\/span>
<\/span><\/li>- Develop and maintain APIs and
interfaces to facilitate secure and seamless data exchange across systems.<\/span><\/span>
<\/span><\/li>- Ensure data quality, integrity, and
compliance with regulatory standards, particularly in healthcare and digital
health contexts.<\/span><\/span>
<\/span><\/li>- Participate in agile ceremonies,
including sprint planning, stand -ups, and retrospectives, to align technical
work with client and product priorities.<\/span><\/span>
<\/span><\/li>- Provide technical guidance and best
practices to both internal teams and client stakeholders.<\/span><\/span>
<\/span><\/li>- Explore and evaluate emerging technologies to enhance data engineering
practices and platform capabilities.<\/span><\/span><\/span>
<\/li>- Provide support to quickly resolve
production issues when they arise.<\/span><\/span>
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Requirements<\/h3>Required Skills:<\/span><\/span><\/span><\/b>
<\/h3>- Bachelor’s degree in Computer
Science, Engineering, or related field.<\/span><\/span>
<\/span><\/li>- 5+ years of experience in data
engineering or a related role.<\/span><\/span>
<\/span><\/li>- Ability to take vague or partially
defined requirements and, with minimal direction, develop a clear plan and
implement an effective solution.<\/span><\/span>
<\/span><\/li>- Proven experience with either/both
Azure Data Services (e.g., Data Lake, Databricks, Synapse, Data Factory) and
AWS Data Services (e.g., EC2, Glue, S3, Athena).<\/span><\/span>
<\/span><\/li>- Strong skills in Python, SQL, and
PySpark. Experience in other programming languages such as Java is also
helpful.<\/span><\/span>
<\/span><\/li>- Experience designing and managing
data models and architectures for analytical and operational solutions.<\/span><\/span>
<\/span><\/li>- Ability to work effectively with
client SMEs to gather requirements, analyze data workflows, and co -create
solutions.<\/span><\/span>
<\/span><\/li>- Familiarity with distributed
systems, big data architectures, and pipeline orchestration tools.<\/span><\/span>
<\/span><\/li>- Experience with CI/CD pipelines and
version control systems such as Gitlab.<\/span><\/span>
<\/span><\/li>- Excellent communication and
collaboration skills, with the ability to translate technical concepts for
non -technical audiences.<\/span><\/span>
<\/span><\/span>
<\/span><\/li><\/ul>Nice to have (but not required):<\/span><\/span><\/span><\/b>
<\/h3>- Experience with real -time data
streaming tools such as Kafka or Kinesis.<\/span><\/span>
<\/span><\/li>- Familiarity with data governance
platforms and cataloging tools.<\/span><\/span>
<\/span><\/li>- Exposure to containerization and
orchestration technologies like Docker and Kubernetes.<\/span><\/span>
<\/span><\/li>- Interest in AI -driven data
engineering and analytics to support predictive modeling.<\/span><\/span>
<\/span><\/li>- Knowledge of healthcare data
exchange standards (e.g., HL7, FHIR) and regulatory compliance requirements.<\/span><\/span>
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